Data Visualisation
The aim of data visualisation is to effectively communicate information through a graphical means. This course aims to provide an understanding of the theory underpinning the field of data visualisation and to provide an introduction to the practicalities of creating effective graphical representations of data.
This course is currently offered in collaboration with Creative Futures Academy (CFA). CFA is a ground-breaking partnership between: The National College of Art and Design, University College Dublin, and the Institute of Art, Design + Technology. Our tailored programmes and micro courses offer access to expertise and networks across the three leading creative institutions and our industry partners. Learn with us as we experiment, innovate and respond to change.
What is Data Visualisation?
Apply the principles of data visualisation to the analysis, design and communication of information in order to provide insights, clarity and meaning.
The course is suitable for individuals involved in the collection, analysis or interpretation of data, as well as for those responsible for the communication of data to a range of audiences.
The course will use the data visualization application Tableau. In addition, the open source software environment R together with a number of its data visualization libraries including ggplot2, Plotly and the mapping library Leaflet will be used. No prior experience with Tableau or R will be assumed.
This course is intended for students who:
• have successfully completed a primary degree at level 8 and are interested in learning more about the field of Data Visualisation, and/or
• may be working in a related field related to data science, information design or graphic design, and/or
• want to retrain or upskill in order to start a career the field of Data Visualisation.
Students may come from a range of backgrounds, with varying levels of prior design experience (e.g., computing, engineering, technology, business, marketing, design, creative arts, psychology, etc. graduates) for whom data visualisation is a key area of interest.
Subjects taught
Topics covered in this course include:
• The grammar of graphics
• Visualising data in one, two and higher dimensions.
• Geospatial visualisation
• Interactive visualisation
• Dashboard design and development
• Data visualisation using open source software e.g., R.
• Review of key concepts associated with statistical reasoning
• Creating surveillance models based on data collected over time
• Publishing content using an open source framework.
Entry requirements
Min Entry Requirements
An undergraduate qualification of 2nd Class Honours or higher at Honours Degree Level.
Those without this qualification may be considered provided they can demonstrate Honours Degree equivalence, which can be verified through the RPL (recognition of prior learning) process. Typically, RPL candidates should have professional experience of 2-3 years in Data Visualisation, Information Design, or a related field.
Are there any Equipment / Software Requirements?
Students should have access to a computer with a standard specification.
The application Tableau will be provided to students.
Portfolio: No
Application dates
Application Deadline
2024 applications are now open.
IADT operates a rolling admissions policy for graduate taught courses, with decisions issued in 4 weeks after a submitted and complete application is received. An application is incomplete until you provide all required items on the checklist (including the application fee, if applicable).
Generally, courses will remain open to applications until all places are filled.
Duration
4 Full Days on campus (10am - 4pm)
Enrolment dates
The course will be delivered on campus over 4 days (Saturdays) from 10am to 4pm:
24th February 2024
2nd, 9th and 23rd March 2024